Machine Learning Engineer – Cambridge

The role involves designing, implementing, and evaluating machine learning models and systems for health-related applications, requiring expertise in deep learning, NLP, and large-scale datasets. Candidates will work on innovative products involving state-of-the-art generative AI and collaborative team efforts across disciplines. Proficiency in modern machine learning frameworks such as TensorFlow, PyTorch, or Huggingface is essential. Experience working with healthcare data, workflows, and interdisciplinary teams is preferred. Strong communication skills and adaptability to rapid project changes are expected. Candidates should have at least ten years' software development experience and leadership capabilities.